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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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numpy/power_mean/README.md
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@ -14,6 +14,8 @@ Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
You are not allowed to average over the trials before calculating the power. This is the same for calculating the fft power as well as the wavelet power. You are not allowed to average over the trials before calculating the power. This is the same for calculating the fft power as well as the wavelet power.
The worst case senario would be two waves in anti-phase:
```python ```python
import numpy as np import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -35,6 +37,8 @@ plt.show()
![image0.png](image0.png) ![image0.png](image0.png)
However if you have server randomly phase-jittered curves then something similar will happen.
```python ```python
import numpy as np import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -53,3 +57,5 @@ plt.show()
``` ```
![image1.png](image1.png) ![image1.png](image1.png)
And please remember the Fourier approach: Every curve can be decomposed in to sin waves.